Evaluating prognostic accuracy of biomarkers in nested case-control studies

Cai, Tianxi; Zheng, Yi

doi:10.1093/biostatistics/kxr021

Cited by 50 publications

(83 citation statements)

References 28 publications

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“…A nested case-control study can be viewed as a cohort study with outcome-dependent weighting, and analyzed through the inverse probability weight estimator framework (Cai and Zheng, 2011). Both MVC and FUC can be applied similarly to the weighted partial likelihood as in the case-cohort design.…”

Section: Calibration Approachesmentioning

confidence: 99%

Covariate measurement error correction methods in mediation analysis with failure time data

Zhao

Prentice

2014

Biometrics

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Summary Mediation analysis is important for understanding the mechanisms whereby one variable causes changes in another. Measurement error could obscure the ability of the potential mediator to explain such changes. This paper focuses on developing correction methods for measurement error in the mediator with failure time outcomes. We consider a broad definition of measurement error, including technical error and error associated with temporal variation. The underlying model with the ‘true’ mediator is assumed to be of the Cox proportional hazards model form. The induced hazard ratio for the observed mediator no longer has a simple form independent of the baseline hazard function, due to the conditioning event. We propose a mean-variance regression calibration approach and a follow-up time regression calibration approach, to approximate the partial likelihood for the induced hazard function. Both methods demonstrate value in assessing mediation effects in simulation studies. These methods are generalized to multiple biomarkers and to both case-cohort and nested case-control sampling design. We apply these correction methods to the Women's Health Initiative hormone therapy trials to understand the mediation effect of several serum sex hormone measures on the relationship between postmenopausal hormone therapy and breast cancer risk.

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Section: Calibration Approachesmentioning

confidence: 99%

Covariate measurement error correction methods in mediation analysis with failure time data

Zhao

Prentice

2014

Biometrics

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“…Cases were matched with four controls, on sex, year of birth, drug administration route and duration of drug use. Previous research has shown that matching more than four controls with each case does not significantly add statistical power to the analysis (Cai & Zheng, 2012;Ury, 1975). Controls were never matched to more than one case and deceased users were excluded from the RELIS database in order to avoid that they were matched with cases.…”

Section: Case Definition Study Design and Participantsmentioning

confidence: 99%

Social and economic inequalities in fatal opioid and cocaine related overdoses in Luxembourg: A case–control study

Origer¹,

Bihan²,

Baumann³

2014

International Journal of Drug Policy

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a b s t r a c tBackground: To investigate social and economic inequalities in fatal overdose cases related to opioid and cocaine use, recorded in Luxembourg between 1994 and 2011. Methods: Cross-examination of national data from law enforcement and drug use surveillance sources and of forensic evidence in a nested case-control study design. Overdose cases were individually matched with four controls, when available, according to sex, year of birth, drug administration route and duration of drug use. 272 cases vs 1056 controls were analysed. Conditional logistic regression analysis was performed to assess the respective impact of a series of socioeconomic variables. Conclusions: Socioeconomic inequalities in drug users impact on the occurrence of fatal overdoses. Compared to their peers, users of illicit drugs with lower socioeconomic profiles show increased odds of dying from overdose. However, actual and self-referred socioeconomic characteristics of drug users, such as educational attainment and employment, may have a greater predictive value of overdose mortality than the parental socioeconomic status. Education, vocational training and socio-professional reintegration should be part of drug-related mortality prevention policies.

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“…The small cohort was used to derive a Cox proportional hazard model which was then applied to the full dataset. The sampling method used in case-control selection from larger cohorts can significantly affect the results of any analysis 21 . Use of a single pass assessment of the model will give a false impression of the performance: a non-parametric boot-strapping technique as described for other screening populations where multiple data sets are hard to acquire should have been used to improve assessment, in particular to identify confidence intervals for the effectiveness of the test 22 .…”

Section: I a L D I S T R I B U T I O N U N A U T H O R I Z E D U S mentioning

confidence: 99%

Secondary tests for stratification of risk for atherosclerosis

Wierzbicki

Reynolds

2013

Current Medical Research and Opinion

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Evaluating prognostic accuracy of biomarkers in nested case-control studies

Cited by 50 publications

References 28 publications

Covariate measurement error correction methods in mediation analysis with failure time data

Covariate measurement error correction methods in mediation analysis with failure time data

Social and economic inequalities in fatal opioid and cocaine related overdoses in Luxembourg: A case–control study

Secondary tests for stratification of risk for atherosclerosis

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